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Showing 1 to 15 of 38 results Save | Export
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Teo, Timothy; Doleck, Tenzin; Bazelais, Paul – Interactive Learning Environments, 2018
Considering the increasingly ubiquitous and frequent use of Facebook among college students, this study sought to explicate and unravel the salient determinants of Facebook use. Specifically, the main goal was to ascertain the factors influencing "Collège d'enseignement général et professionnel" (CEGEP) students' Facebook use, for which…
Descriptors: Foreign Countries, Attachment Behavior, College Students, Structural Equation Models
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Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh – Interactive Learning Environments, 2017
The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Surveys
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Sun, Peijian; Yuan, Rui – Interactive Learning Environments, 2018
This study explored the congruence and disparities among three groups of foreign language (Chinese, French, and German) students' and teachers' perceptions of collaborative/cooperative language learning (CLL) strategies in novice-level classroom contexts. A total of 168 participants from a university in the USA took part in this mixed-method…
Descriptors: Cooperative Learning, Second Language Learning, Second Language Instruction, Mixed Methods Research
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Du, Jianxia; Wang, Chuang; Zhou, Mingming; Xu, Jianzhong; Fan, Xitao; Lei, Saosan – Interactive Learning Environments, 2018
The present investigation examines the multidimensional relationships among several critical components in online collaborative learning, including group trust, communication media, and interactivity. Four hundred eleven university students from 103 groups in the United States responded survey items on online collaboration, interactivity,…
Descriptors: College Students, Cooperative Learning, Trust (Psychology), Electronic Learning
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Huang, Wenyeh; Ho, Jonathan C. – Interactive Learning Environments, 2018
Considering a company's limited time and resources, an effective training method that improves employees' ability to make ethical decision is needed. Based on social cognitive theory, this study proposes that employing games in an ethics training program can help improve moral reasoning through actively engaging learners. The experimental design…
Descriptors: College Students, Moral Values, Thinking Skills, Learning Strategies
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Tezer, Murat; Çimsir, Burcu Turan – Interactive Learning Environments, 2018
This research aimed to examine the impact of using mobile-supported learning management systems (LMS) in teaching web design on the academic success of students and their opinion on the course; and it was conducted on 70 volunteer students (35 experimental, 35 control) enrolled at Giresun University, Technical Sciences Vocational School, Computer…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Integrated Learning Systems
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Chen, Jingjing; Xu, Jianliang; Tang, Tao; Chen, Rongchao – Interactive Learning Environments, 2017
Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE--WebIntera-classroom--which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that…
Descriptors: Virtual Classrooms, Interaction, Web Based Instruction, Computer Interfaces
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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
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Teo, Timothy – Interactive Learning Environments, 2016
This study serves to validate a Chinese translation of the Digital Native Assessment Scale (C-DNAS) and assess if significant differences exist between a sample of students and teachers from a culture different than the one used in the development of the DNAS. Participants were 402 university students from one province in Mainland China. Results…
Descriptors: Foreign Countries, Translation, Chinese, College Students
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Teo, Timothy – Interactive Learning Environments, 2016
The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized…
Descriptors: Social Media, College Students, Emotional Response, Computer Attitudes
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Johnson, Ruth; Stewart, Cindy; Bachman, Christine – Interactive Learning Environments, 2015
Although online student enrollment has shown double digit growth for almost a decade and academic leaders recognize that online education is necessary for enrollment growth, little is known about what motivates students to enroll in or faculty to teach face-to-face (F2F) versus online courses. The psychometric properties of a motivation scale were…
Descriptors: Online Courses, Academic Persistence, College Faculty, College Students
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Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, Cognitive Style
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Wei, Chun-Wang; Lin, Yi-Chun; Lin, Yen-Ting – Interactive Learning Environments, 2016
Clinical resources in nursing schools are always insufficient for satisfying the practice requirements of each student at the same time during a formal course session. Although several studies have applied information and communication technology to develop computer-based learning tools for addressing this problem, most of these developments lack…
Descriptors: Nursing Education, Clinical Experience, Web Based Instruction, Nursing Students
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Damnik, Gregor; Proske, Antje; Körndle, Hermann – Interactive Learning Environments, 2017
When teachers or instructors create computer-based learning environments, they often solely consider technical aspects of interactivity. As a consequence, learners' main role is to respond to requests of the learning environment (e.g. by answering multiple-choice questions). This aspect of interactivity is, however, not sufficient to understand…
Descriptors: Learning Activities, Constructivism (Learning), Interaction, Perspective Taking
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Al-Samarraie, Hosam; Selim, Hassan; Zaqout, Fahed – Interactive Learning Environments, 2016
A model is proposed to assess the effect of different content representation design principles on learners' intuitive beliefs about using e-learning. We hypothesized that the impact of the representation of course contents is mediated by the design principles of alignment, quantity, clarity, simplicity, and affordance, which influence the…
Descriptors: Electronic Learning, Learning Motivation, Course Content, Intuition
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